thatgamecompany is best recognized for creating award-winning, enriching, and meaningful game titles such as Journey, Flower, and flOw. Our most recent game, Sky, is our most complex undertaking to date. It is a social network built around the values inherited from a powerful humanistic story. It is a live experience continuously evolving inside a global online theme park.
Sky has an amazing and vibrant community of socially minded players, and we are tirelessly working on solutions to deepen player interaction and create lasting friendships. We are seeking an experienced Machine Learning Engineer to help us build new ways to understand and connect our players.
We expect you to:
Have deep passion for video games and think on behalf of our players
Be curious, a problem solver and a self starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us
Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space
Be able to complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication
3+ Years of Experience in applied Data Science or Machine Learning
Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem
Knowledge of Machine Learning and Statistical concepts including experimental design, hypothesis testing, regression, classification, and clustering
Experience building and deploying complex and scalable machine learning models in production environments, ideally in Kubernetes
Experience writing clean, efficient code in Python, Java, or Scala
Experience writing optimized SQL Queries to build and analyze datasets
Some exposure to a modern Cloud Platform, preferably GCP
Some knowledge or experience with Big Data Processing Tools and Formats
Like BigQuery, Redshift, Snowflake, Spark/Beam, Parquet, Iceberg
Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it
Eager to learn new skills and always open to jump out of your comfort zone.
Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:
Experience with Graph Databases or Matchmaking
Experience with Collaborative Filtering or User Vectorization
Experience with large-scale Sentiment Analysis
Experience with Typescript and Protobuf
Experience with Source Control, CICD, or Infrastructure as Code
Experience in the video gaming industry
Experience in a small company with a startup feel
Interest in technical writing and sharing your workWe look forward to meeting you!
Applicants must be authorized to work for any employer in the U.S. or Canada. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
The salary range for this position is $70,168 USD to $176,880 USD annually, with the
opportunity to earn an annual discretionary bonus. This salary range is an estimate, and
the actual salary may vary based on the Company’s compensation practices.
Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.
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Brillio
Aprio